M
Munindar P. Singh
Researcher at North Carolina State University
Publications - 613
Citations - 21630
Munindar P. Singh is an academic researcher from North Carolina State University. The author has contributed to research in topics: Multi-agent system & Autonomous agent. The author has an hindex of 62, co-authored 580 publications receiving 20279 citations. Previous affiliations of Munindar P. Singh include Motilal Nehru National Institute of Technology Allahabad & University of South Carolina.
Papers
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Distributed Scheduling of Workflow Computations
TL;DR: This work addresses the problem of scheduling workflows from declarative specifications in terms of intertask dependencies and event attributes, and goes beyond previous approaches in being generic and distributed, and having a rigorous formal semantics.
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An Ontology based Decision support for Tuberculosis Management and Control in India
Kumar Abhishek,Munindar P. Singh +1 more
TL;DR: An ontology based formalism of existing system for TB control and management in India that is RNTCP (Revised National TB Control Programme) will help in further investigation /research of a new improved method in developing a decision support system for different government / NGO (NonGovernment Organization) organizations.
Book ChapterDOI
Self-organizing referral networks: a process view of trust and authority
Pinar Yolum,Munindar P. Singh +1 more
TL;DR: In this article, a decentralized approach to trust based on referral systems is developed, where agents adaptively give referrals to one another to find other trustworthy agents, and the authors explore key relationships between the policies and representations of individual agents on the one hand and the aggregate structure of their social network on the other.
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Protocols Over Things: A Decentralized Programming Model for the Internet of Things
TL;DR: Protocols over Things, a decentralized programming model that represents an IoT application via a protocol between the parties involved and provides improved performance over network-level delivery guarantees, is contributed.
Journal ArticleDOI
Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modelling and Emotion Classification Approach
Francisco Braulio Oliveira,Amanul Haque,Davoud Mougouei,J.S. Sichman,Munindar P. Singh,Simon Evans +5 more
TL;DR: In this paper , the authors investigated the prevalence of basic human emotions in around 19 million user responses to 1.7 million COVID-19 news posts on Twitter from (English-speaking) media across 12 countries from January 2020 to April 2021.